Add llm_creator and prompt_creator to VertexTypesDict

src/backend/base/langflow/graph/graph/constants.py

@@ -3,8 +3,10 @@ from langflow.interface.agents.base import agent_creator
 from langflow.interface.custom.base import custom_component_creator
 from langflow.interface.document_loaders.base import documentloader_creator
 from langflow.interface.embeddings.base import embedding_creator
+from langflow.interface.llms.base import llm_creator
 from langflow.interface.memories.base import memory_creator
 from langflow.interface.output_parsers.base import output_parser_creator
+from langflow.interface.prompts.base import prompt_creator
 from langflow.interface.retrievers.base import retriever_creator
 from langflow.interface.text_splitters.base import textsplitter_creator
 from langflow.interface.toolkits.base import toolkits_creator
@@ -33,13 +35,13 @@ class VertexTypesDict(LazyLoadDictBase):
 
     def get_type_dict(self):
         return {
-            # **{t: types.PromptVertex for t in prompt_creator.to_list()},
+            **{t: types.PromptVertex for t in prompt_creator.to_list()},
             **{t: types.AgentVertex for t in agent_creator.to_list()},
             # **{t: types.ChainVertex for t in chain_creator.to_list()},
             **{t: types.ToolVertex for t in tool_creator.to_list()},
             **{t: types.ToolkitVertex for t in toolkits_creator.to_list()},
             **{t: types.WrapperVertex for t in wrapper_creator.to_list()},
-            # **{t: types.LLMVertex for t in llm_creator.to_list()},
+            **{t: types.LLMVertex for t in llm_creator.to_list()},
             **{t: types.MemoryVertex for t in memory_creator.to_list()},
             **{t: types.EmbeddingVertex for t in embedding_creator.to_list()},
             # **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()},

src/backend/base/langflow/interface/initialize/loading.py

@@ -168,6 +168,8 @@ async def instantiate_custom_component(params, user_id, vertex):
     custom_repr = custom_component.custom_repr()
     if not custom_repr and isinstance(build_result, (dict, Record, str)):
         custom_repr = build_result
+    if not isinstance(custom_repr, str):
+        custom_repr = str(custom_repr)
     return custom_component, build_result, {"repr": custom_repr}
 
 

src/backend/base/langflow/interface/llms/base.py

@@ -4,7 +4,6 @@ from loguru import logger
 
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import llm_type_to_cls_dict
-from langflow.services.deps import get_settings_service
 from langflow.template.frontend_node.llms import LLMFrontendNode
 from langflow.utils.util import build_template_from_class
 
@@ -34,11 +33,10 @@ class LLMCreator(LangChainTypeCreator):
             return None
 
     def to_list(self) -> List[str]:
-        settings_service = get_settings_service()
         return [
             llm.__name__
             for llm in self.type_to_loader_dict.values()
-            if llm.__name__ in settings_service.settings.LLMS or settings_service.settings.DEV
+            # if llm.__name__ in settings_service.settings.LLMS or settings_service.settings.DEV
         ]